Maximilian Denninger

According to our database, Maximilian Denninger authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

BlenderProc2: A Procedural Pipeline for Photorealistic Rendering.

Maximilian Denninger, Dominik Winkelbauer, Martin Sundermeyer, Wout Boerdijk, Markus Knauer, Klaus H. Strobl, Matthias Humt, Rudolph Triebel

J. Open Source Softw., March, 2023

Persistent Learning for Semantic Indoor Mapping in Dynamic Environments.

Maximilian Denninger

PhD thesis, 2023

3D Semantic Scene Reconstruction from a Single Viewport.

Maximilian Denninger, Rudolph Triebel

Proceedings of the 3rd International Conference on Image Processing and Vision Engineering, 2023

2022

RECALL: Rehearsal-free Continual Learning for Object Classification.

Markus Knauer, Maximilian Denninger, Rudolph Triebel

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

An Ecosystem for Heterogeneous Robotic Assistants in Caregiving: Core Functionalities and Use Cases.

Jörn Vogel, Daniel Leidner, Annette Hagengruber, Michael Panzirsch, Berthold Bäuml, Maximilian Denninger, Ulrich Hillenbrand, Lioba Suchenwirth, Peter Schmaus, Marco Sewtz, Adrian Simon Bauer, Thomas Hulin, Maged Iskandar, Gabriel Quere, Alin Albu-Schäffer, Alexander Dietrich

IEEE Robotics Autom. Mag., 2021

Learning to Localize in New Environments from Synthetic Training Data.

Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

3D Scene Reconstruction from a Single Viewport.

Maximilian Denninger, Rudolph Triebel

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

BlenderProc.

Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam

CoRR, 2019

2018

Persistent Anytime Learning of Objects from Unseen Classes.

Maximilian Denninger, Rudolph Triebel

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2016

Monte Carlo Registration and Its Application with Autonomous Robots.

Christian Rink, Simon Kriegel, Daniel Seth, Maximilian Denninger, Zoltan-Csaba Marton, Tim Bodenmüller

J. Sensors, 2016